{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as pl\n",
    "\n",
    "import sys\n",
    "sys.path.append(\"../ai-sdr\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Data.rawdata import ChannelizedData\n",
    "from Data.opnr import find_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn = find_data('../data','900.0m')\n",
    "# fn = find_data('../data','2150.0m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "aLTE = ChannelizedData(str(fn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "aLTE.channeling(874.2e6,64)\n",
    "# aLTE.channeling(2140e6,4)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x107db1810>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = np.arange(1228800*2)/2+9000000-1228800/2\n",
    "pl.plot(f,np.abs(np.fft.fftshift(np.fft.fft(aLTE.raw[:1228800*2]))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x12ea7fc10>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.plot(np.abs(np.fft.fftshift(np.fft.fft(aLTE.waveform[:19200*2]))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "aLTE.toDisk()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.11.3 ('venv': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "160761bc1a904adbbd606c3a9b02244365b1a540f860a2c66cbc5cbd24c54900"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
